Overview

Dataset statistics

Number of variables22
Number of observations1468
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.2 KiB
Average record size in memory99.2 B

Variable types

Numeric21
Categorical1

Alerts

prod_cats is highly correlated with no_skus and 4 other fieldsHigh correlation
no_skus is highly correlated with prod_cats and 4 other fieldsHigh correlation
item_cnts is highly correlated with prod_cats and 4 other fieldsHigh correlation
Monetary is highly correlated with prod_cats and 4 other fieldsHigh correlation
Frequency is highly correlated with prod_cats and 4 other fieldsHigh correlation
Recency is highly correlated with Transaction_Month_12High correlation
no_coupon_codes is highly correlated with prod_cats and 4 other fieldsHigh correlation
Transaction_Month_12 is highly correlated with RecencyHigh correlation
prod_cats is highly correlated with no_skus and 4 other fieldsHigh correlation
no_skus is highly correlated with prod_cats and 5 other fieldsHigh correlation
item_cnts is highly correlated with prod_cats and 5 other fieldsHigh correlation
Monetary is highly correlated with prod_cats and 4 other fieldsHigh correlation
Frequency is highly correlated with prod_cats and 5 other fieldsHigh correlation
no_coupon_codes is highly correlated with prod_cats and 5 other fieldsHigh correlation
Transaction_Month_7 is highly correlated with no_skus and 3 other fieldsHigh correlation
prod_cats is highly correlated with no_skus and 4 other fieldsHigh correlation
no_skus is highly correlated with prod_cats and 4 other fieldsHigh correlation
item_cnts is highly correlated with prod_cats and 4 other fieldsHigh correlation
Monetary is highly correlated with prod_cats and 4 other fieldsHigh correlation
Frequency is highly correlated with prod_cats and 4 other fieldsHigh correlation
Recency is highly correlated with Transaction_Month_12High correlation
no_coupon_codes is highly correlated with prod_cats and 4 other fieldsHigh correlation
Transaction_Month_12 is highly correlated with RecencyHigh correlation
prod_cats is highly correlated with no_skus and 9 other fieldsHigh correlation
no_skus is highly correlated with prod_cats and 16 other fieldsHigh correlation
item_cnts is highly correlated with prod_cats and 16 other fieldsHigh correlation
Monetary is highly correlated with prod_cats and 9 other fieldsHigh correlation
Frequency is highly correlated with prod_cats and 13 other fieldsHigh correlation
no_coupon_codes is highly correlated with prod_cats and 13 other fieldsHigh correlation
Transaction_Month_1 is highly correlated with no_skus and 4 other fieldsHigh correlation
Transaction_Month_2 is highly correlated with Frequency and 1 other fieldsHigh correlation
Transaction_Month_3 is highly correlated with no_skus and 7 other fieldsHigh correlation
Transaction_Month_4 is highly correlated with no_skus and 6 other fieldsHigh correlation
Transaction_Month_5 is highly correlated with no_skus and 1 other fieldsHigh correlation
Transaction_Month_6 is highly correlated with no_skus and 5 other fieldsHigh correlation
Transaction_Month_7 is highly correlated with prod_cats and 5 other fieldsHigh correlation
Transaction_Month_8 is highly correlated with prod_cats and 2 other fieldsHigh correlation
Transaction_Month_9 is highly correlated with no_skus and 3 other fieldsHigh correlation
Transaction_Month_10 is highly correlated with prod_cats and 2 other fieldsHigh correlation
Transaction_Month_11 is highly correlated with no_skus and 2 other fieldsHigh correlation
Transaction_Month_12 is highly correlated with prod_cats and 5 other fieldsHigh correlation
Value is highly correlated with prod_cats and 4 other fieldsHigh correlation
Value is uniformly distributed Uniform
CustomerID has unique values Unique
Transaction_Month_1 has 1253 (85.4%) zeros Zeros
Transaction_Month_2 has 1359 (92.6%) zeros Zeros
Transaction_Month_3 has 1260 (85.8%) zeros Zeros
Transaction_Month_4 has 1244 (84.7%) zeros Zeros
Transaction_Month_5 has 1268 (86.4%) zeros Zeros
Transaction_Month_6 has 1209 (82.4%) zeros Zeros
Transaction_Month_7 has 1232 (83.9%) zeros Zeros
Transaction_Month_8 has 1168 (79.6%) zeros Zeros
Transaction_Month_9 has 1275 (86.9%) zeros Zeros
Transaction_Month_10 has 1258 (85.7%) zeros Zeros
Transaction_Month_11 has 1280 (87.2%) zeros Zeros
Transaction_Month_12 has 1232 (83.9%) zeros Zeros

Reproduction

Analysis started2022-11-17 08:23:32.109802
Analysis finished2022-11-17 08:24:40.487494
Duration1 minute and 8.38 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

CustomerID
Real number (ℝ≥0)

UNIQUE

Distinct1468
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15314.38624
Minimum12346
Maximum18283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:40.608995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12346
5-th percentile12606.4
Q113830.5
median15300
Q316882.25
95-th percentile17966.3
Maximum18283
Range5937
Interquartile range (IQR)3051.75

Descriptive statistics

Standard deviation1744.000367
Coefficient of variation (CV)0.1138798735
Kurtosis-1.231636688
Mean15314.38624
Median Absolute Deviation (MAD)1516.5
Skewness-0.01998020684
Sum22481519
Variance3041537.28
MonotonicityStrictly increasing
2022-11-17T13:54:40.718932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123461
 
0.1%
164031
 
0.1%
164011
 
0.1%
163951
 
0.1%
163931
 
0.1%
163871
 
0.1%
163851
 
0.1%
163781
 
0.1%
163671
 
0.1%
163651
 
0.1%
Other values (1458)1458
99.3%
ValueCountFrequency (%)
123461
0.1%
123471
0.1%
123481
0.1%
123501
0.1%
123561
0.1%
123591
0.1%
123701
0.1%
123731
0.1%
123771
0.1%
123831
0.1%
ValueCountFrequency (%)
182831
0.1%
182771
0.1%
182691
0.1%
182601
0.1%
182591
0.1%
182561
0.1%
182501
0.1%
182451
0.1%
182391
0.1%
182331
0.1%

prod_cats
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.053133515
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:40.846539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile11
Maximum19
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.188879748
Coefficient of variation (CV)0.5268147051
Kurtosis0.1166959372
Mean6.053133515
Median Absolute Deviation (MAD)2
Skewness0.4788796448
Sum8886
Variance10.16895405
MonotonicityNot monotonic
2022-11-17T13:54:40.925126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5180
12.3%
7168
11.4%
6163
11.1%
4149
10.1%
8138
9.4%
3130
8.9%
9112
7.6%
1109
7.4%
2107
7.3%
1094
6.4%
Other values (8)118
8.0%
ValueCountFrequency (%)
1109
7.4%
2107
7.3%
3130
8.9%
4149
10.1%
5180
12.3%
6163
11.1%
7168
11.4%
8138
9.4%
9112
7.6%
1094
6.4%
ValueCountFrequency (%)
192
 
0.1%
174
 
0.3%
163
 
0.2%
154
 
0.3%
1413
 
0.9%
1318
 
1.2%
1227
 
1.8%
1147
3.2%
1094
6.4%
9112
7.6%

no_skus
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct115
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.65735695
Minimum1
Maximum308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:41.035127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median17
Q334
95-th percentile75
Maximum308
Range307
Interquartile range (IQR)26

Descriptive statistics

Standard deviation27.60704704
Coefficient of variation (CV)1.075989514
Kurtosis22.2310757
Mean25.65735695
Median Absolute Deviation (MAD)11
Skewness3.499376703
Sum37665
Variance762.149046
MonotonicityNot monotonic
2022-11-17T13:54:41.144555image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166
 
4.5%
249
 
3.3%
849
 
3.3%
1548
 
3.3%
1246
 
3.1%
746
 
3.1%
346
 
3.1%
545
 
3.1%
944
 
3.0%
1740
 
2.7%
Other values (105)989
67.4%
ValueCountFrequency (%)
166
4.5%
249
3.3%
346
3.1%
437
2.5%
545
3.1%
630
2.0%
746
3.1%
849
3.3%
944
3.0%
1039
2.7%
ValueCountFrequency (%)
3081
0.1%
2861
0.1%
2671
0.1%
2371
0.1%
2091
0.1%
1781
0.1%
1641
0.1%
1531
0.1%
1491
0.1%
1471
0.1%

item_cnts
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct106
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.89713896
Minimum1
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:41.286376image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q331
95-th percentile65
Maximum214
Range213
Interquartile range (IQR)23

Descriptive statistics

Standard deviation22.66473389
Coefficient of variation (CV)0.9898500386
Kurtosis12.70864373
Mean22.89713896
Median Absolute Deviation (MAD)10
Skewness2.690560756
Sum33613
Variance513.6901622
MonotonicityNot monotonic
2022-11-17T13:54:41.416642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167
 
4.6%
257
 
3.9%
851
 
3.5%
950
 
3.4%
549
 
3.3%
1347
 
3.2%
747
 
3.2%
1147
 
3.2%
1246
 
3.1%
344
 
3.0%
Other values (96)963
65.6%
ValueCountFrequency (%)
167
4.6%
257
3.9%
344
3.0%
437
2.5%
549
3.3%
641
2.8%
747
3.2%
851
3.5%
950
3.4%
1042
2.9%
ValueCountFrequency (%)
2141
0.1%
2061
0.1%
1961
0.1%
1731
0.1%
1661
0.1%
1391
0.1%
1371
0.1%
1201
0.1%
1191
0.1%
1151
0.1%

Monetary
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct1464
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2907.327723
Minimum6.9
Maximum68803.647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:41.542901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile61.47145
Q1609.721
median1609.806
Q33584.19225
95-th percentile9331.926
Maximum68803.647
Range68796.747
Interquartile range (IQR)2974.47125

Descriptive statistics

Standard deviation4626.461471
Coefficient of variation (CV)1.591310617
Kurtosis74.53799916
Mean2907.327723
Median Absolute Deviation (MAD)1195.718
Skewness6.837131187
Sum4267957.097
Variance21404145.74
MonotonicityNot monotonic
2022-11-17T13:54:41.684732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.5672
 
0.1%
113.12
 
0.1%
14.442
 
0.1%
144.8392
 
0.1%
1307.8931
 
0.1%
44.7541
 
0.1%
709.4041
 
0.1%
5978.7021
 
0.1%
594.1041
 
0.1%
5265.6751
 
0.1%
Other values (1454)1454
99.0%
ValueCountFrequency (%)
6.91
0.1%
6.961
0.1%
7.6131
0.1%
7.6161
0.1%
8.2321
0.1%
8.3921
0.1%
10.4721
0.1%
12.481
0.1%
13.681
0.1%
14.061
0.1%
ValueCountFrequency (%)
68803.6471
0.1%
67617.5271
0.1%
51090.731
0.1%
47033.7531
0.1%
45176.6421
0.1%
34094.2181
0.1%
27490.1521
0.1%
24897.0571
0.1%
24283.1281
0.1%
23912.1611
0.1%

Frequency
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct165
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.05177112
Minimum1
Maximum695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:41.825729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median21
Q346
95-th percentile115
Maximum695
Range694
Interquartile range (IQR)36

Descriptive statistics

Standard deviation50.88568035
Coefficient of variation (CV)1.411461317
Kurtosis53.62543316
Mean36.05177112
Median Absolute Deviation (MAD)14
Skewness5.784595284
Sum52924
Variance2589.352464
MonotonicityNot monotonic
2022-11-17T13:54:41.920108image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166
 
4.5%
248
 
3.3%
543
 
2.9%
842
 
2.9%
1641
 
2.8%
1240
 
2.7%
1739
 
2.7%
338
 
2.6%
1137
 
2.5%
937
 
2.5%
Other values (155)1037
70.6%
ValueCountFrequency (%)
166
4.5%
248
3.3%
338
2.6%
426
 
1.8%
543
2.9%
627
1.8%
732
2.2%
842
2.9%
937
2.5%
1037
2.5%
ValueCountFrequency (%)
6951
0.1%
5871
0.1%
5751
0.1%
5721
0.1%
5231
0.1%
3661
0.1%
3151
0.1%
2971
0.1%
2901
0.1%
2611
0.1%

Recency
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct335
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.2922343
Minimum0
Maximum364
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:42.030306image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q155
median131
Q3220
95-th percentile336
Maximum364
Range364
Interquartile range (IQR)165

Descriptive statistics

Standard deviation101.9369589
Coefficient of variation (CV)0.7064618503
Kurtosis-0.8770875486
Mean144.2922343
Median Absolute Deviation (MAD)81
Skewness0.4543546401
Sum211821
Variance10391.14358
MonotonicityNot monotonic
2022-11-17T13:54:42.171877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1216
 
1.1%
1816
 
1.1%
1916
 
1.1%
5815
 
1.0%
3415
 
1.0%
6514
 
1.0%
13614
 
1.0%
15214
 
1.0%
25614
 
1.0%
2113
 
0.9%
Other values (325)1321
90.0%
ValueCountFrequency (%)
06
0.4%
13
0.2%
22
 
0.1%
34
0.3%
46
0.4%
56
0.4%
61
 
0.1%
75
0.3%
83
0.2%
94
0.3%
ValueCountFrequency (%)
3641
 
0.1%
3634
0.3%
3625
0.3%
3612
 
0.1%
3603
0.2%
3591
 
0.1%
3582
 
0.1%
3571
 
0.1%
3566
0.4%
3552
 
0.1%

no_coupon_codes
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct162
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.77929155
Minimum1
Maximum682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:42.299638image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median21
Q345
95-th percentile115
Maximum682
Range681
Interquartile range (IQR)35

Descriptive statistics

Standard deviation50.39890291
Coefficient of variation (CV)1.408605389
Kurtosis53.02706763
Mean35.77929155
Median Absolute Deviation (MAD)14
Skewness5.755338164
Sum52524
Variance2540.049414
MonotonicityNot monotonic
2022-11-17T13:54:42.426266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166
 
4.5%
1648
 
3.3%
248
 
3.3%
542
 
2.9%
1242
 
2.9%
339
 
2.7%
838
 
2.6%
938
 
2.6%
1138
 
2.6%
1036
 
2.5%
Other values (152)1033
70.4%
ValueCountFrequency (%)
166
4.5%
248
3.3%
339
2.7%
427
1.8%
542
2.9%
627
1.8%
736
2.5%
838
2.6%
938
2.6%
1036
2.5%
ValueCountFrequency (%)
6821
0.1%
5831
0.1%
5701
0.1%
5671
0.1%
5171
0.1%
3631
0.1%
3131
0.1%
2931
0.1%
2871
0.1%
2601
0.1%

avg_tenure
Real number (ℝ≥0)

Distinct49
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.91212534
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:42.536118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q114
median26
Q338
95-th percentile48
Maximum50
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation13.9596669
Coefficient of variation (CV)0.5387310658
Kurtosis-1.168523214
Mean25.91212534
Median Absolute Deviation (MAD)12
Skewness-0.002652182722
Sum38039
Variance194.8723
MonotonicityNot monotonic
2022-11-17T13:54:42.686219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
3441
 
2.8%
2539
 
2.7%
4039
 
2.7%
438
 
2.6%
3737
 
2.5%
636
 
2.5%
2436
 
2.5%
3236
 
2.5%
4536
 
2.5%
1936
 
2.5%
Other values (39)1094
74.5%
ValueCountFrequency (%)
226
1.8%
323
1.6%
438
2.6%
530
2.0%
636
2.5%
731
2.1%
828
1.9%
928
1.9%
1034
2.3%
1125
1.7%
ValueCountFrequency (%)
5028
1.9%
4926
1.8%
4834
2.3%
4723
1.6%
4626
1.8%
4536
2.5%
4429
2.0%
4320
1.4%
4228
1.9%
4128
1.9%

Transaction_Month_1
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct54
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.767711172
Minimum0
Maximum297
Zeros1253
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:42.842866image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum297
Range297
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.31681837
Coefficient of variation (CV)4.450181974
Kurtosis236.664509
Mean2.767711172
Median Absolute Deviation (MAD)0
Skewness12.06301104
Sum4063
Variance151.7040147
MonotonicityNot monotonic
2022-11-17T13:54:42.953417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01253
85.4%
120
 
1.4%
513
 
0.9%
213
 
0.9%
1412
 
0.8%
1211
 
0.7%
310
 
0.7%
179
 
0.6%
98
 
0.5%
67
 
0.5%
Other values (44)112
 
7.6%
ValueCountFrequency (%)
01253
85.4%
120
 
1.4%
213
 
0.9%
310
 
0.7%
45
 
0.3%
513
 
0.9%
67
 
0.5%
76
 
0.4%
85
 
0.3%
98
 
0.5%
ValueCountFrequency (%)
2971
0.1%
1211
0.1%
851
0.1%
812
0.1%
761
0.1%
732
0.1%
711
0.1%
672
0.1%
651
0.1%
641
0.1%

Transaction_Month_2
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct60
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.237057221
Minimum0
Maximum125
Zeros1359
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:43.088795image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.65
Maximum125
Range125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.75169028
Coefficient of variation (CV)4.806175803
Kurtosis49.91866694
Mean2.237057221
Median Absolute Deviation (MAD)0
Skewness6.475399834
Sum3284
Variance115.598844
MonotonicityNot monotonic
2022-11-17T13:54:43.230397image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01359
92.6%
36
 
0.4%
146
 
0.4%
195
 
0.3%
14
 
0.3%
153
 
0.2%
103
 
0.2%
663
 
0.2%
23
 
0.2%
113
 
0.2%
Other values (50)73
 
5.0%
ValueCountFrequency (%)
01359
92.6%
14
 
0.3%
23
 
0.2%
36
 
0.4%
41
 
0.1%
52
 
0.1%
62
 
0.1%
73
 
0.2%
82
 
0.1%
92
 
0.1%
ValueCountFrequency (%)
1251
0.1%
1181
0.1%
1171
0.1%
1061
0.1%
861
0.1%
741
0.1%
711
0.1%
701
0.1%
691
0.1%
671
0.1%

Transaction_Month_3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct60
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.960490463
Minimum0
Maximum188
Zeros1260
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:43.356097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19
Maximum188
Range188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.44500821
Coefficient of variation (CV)3.865916258
Kurtosis86.8930056
Mean2.960490463
Median Absolute Deviation (MAD)0
Skewness7.549971837
Sum4346
Variance130.988213
MonotonicityNot monotonic
2022-11-17T13:54:43.450468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01260
85.8%
115
 
1.0%
911
 
0.7%
1611
 
0.7%
310
 
0.7%
109
 
0.6%
138
 
0.5%
148
 
0.5%
78
 
0.5%
27
 
0.5%
Other values (50)121
 
8.2%
ValueCountFrequency (%)
01260
85.8%
115
 
1.0%
27
 
0.5%
310
 
0.7%
44
 
0.3%
55
 
0.3%
65
 
0.3%
78
 
0.5%
85
 
0.3%
911
 
0.7%
ValueCountFrequency (%)
1881
0.1%
1691
0.1%
871
0.1%
801
0.1%
741
0.1%
721
0.1%
691
0.1%
661
0.1%
641
0.1%
602
0.1%

Transaction_Month_4
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct54
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.826975477
Minimum0
Maximum230
Zeros1244
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:43.592052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.65
Maximum230
Range230
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.8813164
Coefficient of variation (CV)4.202836742
Kurtosis127.732036
Mean2.826975477
Median Absolute Deviation (MAD)0
Skewness9.204913951
Sum4150
Variance141.1656795
MonotonicityNot monotonic
2022-11-17T13:54:43.733890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01244
84.7%
124
 
1.6%
216
 
1.1%
313
 
0.9%
711
 
0.7%
511
 
0.7%
410
 
0.7%
158
 
0.5%
218
 
0.5%
118
 
0.5%
Other values (44)115
 
7.8%
ValueCountFrequency (%)
01244
84.7%
124
 
1.6%
216
 
1.1%
313
 
0.9%
410
 
0.7%
511
 
0.7%
64
 
0.3%
711
 
0.7%
84
 
0.3%
94
 
0.3%
ValueCountFrequency (%)
2301
0.1%
1611
0.1%
1121
0.1%
1061
0.1%
871
0.1%
831
0.1%
742
0.1%
661
0.1%
651
0.1%
602
0.1%

Transaction_Month_5
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct67
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.114441417
Minimum0
Maximum137
Zeros1268
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:43.859184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum137
Range137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.73238208
Coefficient of variation (CV)3.767090309
Kurtosis35.62556362
Mean3.114441417
Median Absolute Deviation (MAD)0
Skewness5.331197074
Sum4572
Variance137.6487893
MonotonicityNot monotonic
2022-11-17T13:54:43.984967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01268
86.4%
127
 
1.8%
212
 
0.8%
69
 
0.6%
37
 
0.5%
207
 
0.5%
186
 
0.4%
176
 
0.4%
105
 
0.3%
75
 
0.3%
Other values (57)116
 
7.9%
ValueCountFrequency (%)
01268
86.4%
127
 
1.8%
212
 
0.8%
37
 
0.5%
43
 
0.2%
55
 
0.3%
69
 
0.6%
75
 
0.3%
82
 
0.1%
95
 
0.3%
ValueCountFrequency (%)
1371
0.1%
1181
0.1%
1061
0.1%
981
0.1%
901
0.1%
831
0.1%
751
0.1%
701
0.1%
681
0.1%
651
0.1%

Transaction_Month_6
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct49
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.85626703
Minimum0
Maximum75
Zeros1209
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:44.095816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.789156126
Coefficient of variation (CV)3.077147911
Kurtosis21.11630676
Mean2.85626703
Median Absolute Deviation (MAD)0
Skewness4.237477285
Sum4193
Variance77.2492654
MonotonicityNot monotonic
2022-11-17T13:54:44.221454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
01209
82.4%
124
 
1.6%
514
 
1.0%
213
 
0.9%
412
 
0.8%
1112
 
0.8%
1511
 
0.7%
810
 
0.7%
1610
 
0.7%
199
 
0.6%
Other values (39)144
 
9.8%
ValueCountFrequency (%)
01209
82.4%
124
 
1.6%
213
 
0.9%
39
 
0.6%
412
 
0.8%
514
 
1.0%
68
 
0.5%
78
 
0.5%
810
 
0.7%
97
 
0.5%
ValueCountFrequency (%)
751
 
0.1%
731
 
0.1%
672
0.1%
621
 
0.1%
612
0.1%
581
 
0.1%
561
 
0.1%
503
0.2%
491
 
0.1%
473
0.2%

Transaction_Month_7
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct69
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.576975477
Minimum0
Maximum161
Zeros1232
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:44.332031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.65
Maximum161
Range161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.14038047
Coefficient of variation (CV)3.67360094
Kurtosis42.75356116
Mean3.576975477
Median Absolute Deviation (MAD)0
Skewness5.703922997
Sum5251
Variance172.669599
MonotonicityNot monotonic
2022-11-17T13:54:44.426396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01232
83.9%
135
 
2.4%
312
 
0.8%
210
 
0.7%
1610
 
0.7%
49
 
0.6%
58
 
0.5%
67
 
0.5%
96
 
0.4%
176
 
0.4%
Other values (59)133
 
9.1%
ValueCountFrequency (%)
01232
83.9%
135
 
2.4%
210
 
0.7%
312
 
0.8%
49
 
0.6%
58
 
0.5%
67
 
0.5%
74
 
0.3%
84
 
0.3%
96
 
0.4%
ValueCountFrequency (%)
1611
0.1%
1571
0.1%
1041
0.1%
1031
0.1%
981
0.1%
891
0.1%
871
0.1%
861
0.1%
831
0.1%
821
0.1%

Transaction_Month_8
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct67
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.189373297
Minimum0
Maximum149
Zeros1168
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:44.620800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27
Maximum149
Range149
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.73111776
Coefficient of variation (CV)3.038907459
Kurtosis32.85205261
Mean4.189373297
Median Absolute Deviation (MAD)0
Skewness4.915692295
Sum6150
Variance162.0813594
MonotonicityNot monotonic
2022-11-17T13:54:44.751415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01168
79.6%
123
 
1.6%
217
 
1.2%
914
 
1.0%
1313
 
0.9%
813
 
0.9%
311
 
0.7%
711
 
0.7%
1511
 
0.7%
59
 
0.6%
Other values (57)178
 
12.1%
ValueCountFrequency (%)
01168
79.6%
123
 
1.6%
217
 
1.2%
311
 
0.7%
49
 
0.6%
59
 
0.6%
67
 
0.5%
711
 
0.7%
813
 
0.9%
914
 
1.0%
ValueCountFrequency (%)
1491
0.1%
1311
0.1%
1101
0.1%
981
0.1%
971
0.1%
931
0.1%
881
0.1%
791
0.1%
771
0.1%
721
0.1%

Transaction_Month_9
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct66
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.920980926
Minimum0
Maximum106
Zeros1275
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:44.877441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum106
Range106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.12593934
Coefficient of variation (CV)3.808973634
Kurtosis34.03336942
Mean2.920980926
Median Absolute Deviation (MAD)0
Skewness5.3519267
Sum4288
Variance123.7865261
MonotonicityNot monotonic
2022-11-17T13:54:45.008259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01275
86.9%
118
 
1.2%
211
 
0.7%
119
 
0.6%
69
 
0.6%
319
 
0.6%
58
 
0.5%
48
 
0.5%
197
 
0.5%
36
 
0.4%
Other values (56)108
 
7.4%
ValueCountFrequency (%)
01275
86.9%
118
 
1.2%
211
 
0.7%
36
 
0.4%
48
 
0.5%
58
 
0.5%
69
 
0.6%
74
 
0.3%
83
 
0.2%
92
 
0.1%
ValueCountFrequency (%)
1061
0.1%
1031
0.1%
1011
0.1%
1001
0.1%
991
0.1%
961
0.1%
771
0.1%
761
0.1%
721
0.1%
681
0.1%

Transaction_Month_10
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct60
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.836512262
Minimum0
Maximum137
Zeros1258
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:45.134358image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19
Maximum137
Range137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.93498052
Coefficient of variation (CV)3.855079586
Kurtosis47.87268036
Mean2.836512262
Median Absolute Deviation (MAD)0
Skewness6.117157635
Sum4164
Variance119.5737989
MonotonicityNot monotonic
2022-11-17T13:54:45.259765image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01258
85.7%
122
 
1.5%
613
 
0.9%
310
 
0.7%
59
 
0.6%
119
 
0.6%
198
 
0.5%
88
 
0.5%
28
 
0.5%
48
 
0.5%
Other values (50)115
 
7.8%
ValueCountFrequency (%)
01258
85.7%
122
 
1.5%
28
 
0.5%
310
 
0.7%
48
 
0.5%
59
 
0.6%
613
 
0.9%
73
 
0.2%
88
 
0.5%
96
 
0.4%
ValueCountFrequency (%)
1371
0.1%
1151
0.1%
1061
0.1%
1031
0.1%
961
0.1%
931
0.1%
861
0.1%
761
0.1%
672
0.1%
621
0.1%

Transaction_Month_11
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct52
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.698228883
Minimum0
Maximum106
Zeros1280
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2022-11-17T13:54:45.380232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.65
Maximum106
Range106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.916396102
Coefficient of variation (CV)3.675150083
Kurtosis33.79658506
Mean2.698228883
Median Absolute Deviation (MAD)0
Skewness5.210485988
Sum3961
Variance98.33491165
MonotonicityNot monotonic
2022-11-17T13:54:45.507004image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01280
87.2%
117
 
1.2%
511
 
0.7%
210
 
0.7%
219
 
0.6%
89
 
0.6%
168
 
0.5%
206
 
0.4%
116
 
0.4%
435
 
0.3%
Other values (42)107
 
7.3%
ValueCountFrequency (%)
01280
87.2%
117
 
1.2%
210
 
0.7%
32
 
0.1%
44
 
0.3%
511
 
0.7%
62
 
0.1%
72
 
0.1%
89
 
0.6%
95
 
0.3%
ValueCountFrequency (%)
1061
 
0.1%
942
 
0.1%
931
 
0.1%
831
 
0.1%
731
 
0.1%
621
 
0.1%
571
 
0.1%
551
 
0.1%
542
 
0.1%
505
0.3%

Transaction_Month_12
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct56
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.066757493
Minimum0
Maximum260
Zeros1232
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2022-11-17T13:54:45.633938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19.65
Maximum260
Range260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.00861591
Coefficient of variation (CV)3.91573704
Kurtosis160.7674743
Mean3.066757493
Median Absolute Deviation (MAD)0
Skewness9.805163757
Sum4502
Variance144.206856
MonotonicityNot monotonic
2022-11-17T13:54:45.776283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01232
83.9%
218
 
1.2%
314
 
1.0%
113
 
0.9%
1010
 
0.7%
810
 
0.7%
1810
 
0.7%
410
 
0.7%
199
 
0.6%
128
 
0.5%
Other values (46)134
 
9.1%
ValueCountFrequency (%)
01232
83.9%
113
 
0.9%
218
 
1.2%
314
 
1.0%
410
 
0.7%
58
 
0.5%
63
 
0.2%
75
 
0.3%
810
 
0.7%
98
 
0.5%
ValueCountFrequency (%)
2601
0.1%
1151
0.1%
1111
0.1%
1051
0.1%
771
0.1%
712
0.1%
691
0.1%
631
0.1%
612
0.1%
582
0.1%

Value
Categorical

HIGH CORRELATION
UNIFORM

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
490 
1
489 
2
489 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1468
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Length

2022-11-17T13:54:45.888193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-11-17T13:54:46.010054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Most occurring characters

ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1468
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common1468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0490
33.4%
1489
33.3%
2489
33.3%

Interactions

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2022-11-17T13:54:18.506318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:21.452918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:24.427058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:27.304868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:30.172592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:33.852649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:36.545470image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:39.499321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:40.248444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:43.225992image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:46.104232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:49.249127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:52.187531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:55.181459image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:58.078347image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:01.304044image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:04.053421image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:06.822864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:09.700300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:12.475525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:15.860007image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:18.662379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:21.604244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:24.531634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:27.445822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:30.378283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:33.973675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:36.663438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:39.617978image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:40.384522image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:43.367005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:46.228944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:49.372321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:52.301171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:55.333453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:53:58.208935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:01.430353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:04.179989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:06.965362image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:09.815335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:12.659077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:15.978375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:18.797466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:21.708191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:24.639356image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:27.596542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:30.508408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:34.097235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:36.812389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-11-17T13:54:46.135129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:46.386841image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:46.683718image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-17T13:54:46.934830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Missing values

2022-11-17T13:54:39.863314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-11-17T13:54:40.302408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

CustomerIDprod_catsno_skusitem_cntsMonetaryFrequencyRecencyno_coupon_codesavg_tenureTransaction_Month_1Transaction_Month_2Transaction_Month_3Transaction_Month_4Transaction_Month_5Transaction_Month_6Transaction_Month_7Transaction_Month_8Transaction_Month_9Transaction_Month_10Transaction_Month_11Transaction_Month_12Value
012346222171.6932107231.00.000000002000.00
11234710423810589.28960595920.00.00310000000290.02
212348621181339.65223732339.00.0000017000600.01
312350411101079.92917171725.00.0000000000017.01
412356733291647.219361073631.00.0000000036000.01
5123593168577.448161301641.00.0000000160000.00
6123701062536138.906911899021.00.0000838000000.02
71237331312433.06614241423.00.0000000000014.00
812377955488986.38477407627.00.00000043000340.02
9123831050464772.21769996832.00.00000037311000.02

Last rows

CustomerIDprod_catsno_skusitem_cntsMonetaryFrequencyRecencyno_coupon_codesavg_tenureTransaction_Month_1Transaction_Month_2Transaction_Month_3Transaction_Month_4Transaction_Month_5Transaction_Month_6Transaction_Month_7Transaction_Month_8Transaction_Month_9Transaction_Month_10Transaction_Month_11Transaction_Month_12Value
14581823311175.650110812.00.000000001000.00
1459182391038335878.28952345220.029.0000000002120.02
146018245732306833.5835533545.00.00000027000280.02
146118250416111942.51821182115.00.0000000000021.01
14621825624469.6044179445.00.000000400000.00
146318259474745.905727065.00.000700000000.00
1464182601135322367.10140873943.00.00000110260300.01
146518269288139.9668194825.00.000701000000.00
146618277111274.200169147.00.000000000100.00
1467182831369576425.2731028210136.00.00000057004500.02